silgon

## gist:e6998ed93592ce476d1a
#! /usr/bin/python
"""
Simple example for IRL based on apprenticeship learning
"""
from __future__ import print_function
import numpy as np


def linearMDP(S=5, goal=3):
    """

## gist:615e1afe95129682b908
This is an excellent tool when you're compiling latex files. Nevertheless, there's a bug when you insert a tilde as a nbsp. Something that needs to be modified in ''/usr/bin/texi2dvi'', and that's this part of code ''catcode_special=true'' to''catcode_special=false''. After that, a nice example for your latex file is:

  texi2dvi --pdf --clean --verbose --batch file.tex

## hmm_sampling_fitting.py
"""
this is an extended version of http://hmmlearn.github.io/hmmlearn/auto_examples/plot_hmm_sampling.html#example-plot-hmm-sampling-py
sampling as in the example, then fitting data to another model (with also 4 variables) and then doing some scoring with
the same model and also with a mixture of gaussians
"""
import numpy as np
import matplotlib.pyplot as plt

from hmmlearn import hmm

## find_peaks.cpp
Eigen::ArrayXXb findPeaks(Eigen::ArrayXXd &M, unsigned int &footprint_size){
    Eigen::ArrayXXb result = Eigen::ArrayXXb::Zero(M.rows(), M.cols());
    bool tmp_max;
    bool quit_for=false;
    for(int i = footprint_size; i<M.rows()-footprint_size; ++i){
        for(int j = footprint_size; j<M.cols()-footprint_size; ++j){
            tmp_max=true;
            for(int ii=i-footprint_size; ii<i+footprint_size;++ii){
                for(int jj=j-footprint_size; jj<j+footprint_size;++jj){
                    if(ii==i && jj==j)

## incentive.py
import numpy as np  # import library for linear algebra and more utilities
from numpy.random import randint  # import random int
# initialize random seed
np.random.seed(4)

houses = ["Gryffindor","Slytherin", "Hufflepuff", "Ravenclaw"]

houses_points = []
for _ in houses:
    # houses_points.append(randint(0, 100, randint(60,100)))

## .block
license: gpl-3.0

## carousel.html
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="utf-8">
<meta http-equiv="X-UA-Compatible" content="IE=edge">
<meta name="viewport" content="width=device-width, initial-scale=1">
<title>Example of Bootstrap 3 Carousel</title>
<link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.3.7/css/bootstrap.min.css" integrity="sha384-BVYiiSIFeK1dGmJRAkycuHAHRg32OmUcww7on3RYdg4Va+PmSTsz/K68vbdEjh4u" crossorigin="anonymous">
<link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.3.7/css/bootstrap-theme.min.css" integrity="sha384-rHyoN1iRsVXV4nD0JutlnGaslCJuC7uwjduW9SVrLvRYooPp2bWYgmgJQIXwl/Sp" crossorigin="anonymous">
<script src="https://ajax.googleapis.com/ajax/libs/jquery/1.12.4/jquery.min.js"></script>

## .block
license: gpl-3.0

## raspberry_pi requisites
sudo usb_modeswitch -v 12d1 -p 1f01 -J

## gist:194cfaefe6716b0cea6212215ac36b0d
# in root of grpc project
GRPC_PYTHON_BUILD_WITH_CYTHON=1 pip install .
	#! /usr/bin/python
	"""
	Simple example for IRL based on apprenticeship learning
	"""
	from __future__ import print_function
	import numpy as np


	def linearMDP(S=5, goal=3):
	"""
	This is an excellent tool when you're compiling latex files. Nevertheless, there's a bug when you insert a tilde as a nbsp. Something that needs to be modified in ''/usr/bin/texi2dvi'', and that's this part of code ''catcode_special=true'' to''catcode_special=false''. After that, a nice example for your latex file is:

	texi2dvi --pdf --clean --verbose --batch file.tex
	"""
	this is an extended version of http://hmmlearn.github.io/hmmlearn/auto_examples/plot_hmm_sampling.html#example-plot-hmm-sampling-py
	sampling as in the example, then fitting data to another model (with also 4 variables) and then doing some scoring with
	the same model and also with a mixture of gaussians
	"""
	import numpy as np
	import matplotlib.pyplot as plt

	from hmmlearn import hmm
	Eigen::ArrayXXb findPeaks(Eigen::ArrayXXd &M, unsigned int &footprint_size){
	Eigen::ArrayXXb result = Eigen::ArrayXXb::Zero(M.rows(), M.cols());
	bool tmp_max;
	bool quit_for=false;
	for(int i = footprint_size; i<M.rows()-footprint_size; ++i){
	for(int j = footprint_size; j<M.cols()-footprint_size; ++j){
	tmp_max=true;
	for(int ii=i-footprint_size; ii<i+footprint_size;++ii){
	for(int jj=j-footprint_size; jj<j+footprint_size;++jj){
	if(ii==i && jj==j)
	import numpy as np # import library for linear algebra and more utilities
	from numpy.random import randint # import random int
	# initialize random seed
	np.random.seed(4)

	houses = ["Gryffindor","Slytherin", "Hufflepuff", "Ravenclaw"]

	houses_points = []
	for _ in houses:
	# houses_points.append(randint(0, 100, randint(60,100)))
	<!DOCTYPE html>
	<html lang="en">
	<head>
	<meta charset="utf-8">
	<meta http-equiv="X-UA-Compatible" content="IE=edge">
	<meta name="viewport" content="width=device-width, initial-scale=1">
	<title>Example of Bootstrap 3 Carousel</title>
	<link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.3.7/css/bootstrap.min.css" integrity="sha384-BVYiiSIFeK1dGmJRAkycuHAHRg32OmUcww7on3RYdg4Va+PmSTsz/K68vbdEjh4u" crossorigin="anonymous">
	<link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.3.7/css/bootstrap-theme.min.css" integrity="sha384-rHyoN1iRsVXV4nD0JutlnGaslCJuC7uwjduW9SVrLvRYooPp2bWYgmgJQIXwl/Sp" crossorigin="anonymous">
	<script src="https://ajax.googleapis.com/ajax/libs/jquery/1.12.4/jquery.min.js"></script>
	# in root of grpc project
	GRPC_PYTHON_BUILD_WITH_CYTHON=1 pip install .